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# AI Engineer, AI Platform

- **Company:** Kharon, Inc.
- **Location:** Denver, CO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Clean Code Principles, Artificial Intelligence, Amazon Web Services, Continuous Integration, Data Integration, Cursor, Github, Python (Programming Language), Machine Learning, Software Engineering, SQLAlchemy, Data Streaming, Retrieval-Augmented Generation, Claude Code, Multi-Agent Systems, Pandas, Containerization, AI Platforms, Pyspark, Information Technology, Sentry, Machine Learning Operations, Claude, Model Context Protocol, Agent SDK, Network Server, Data Pipelines, Docker
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/16_b11e4f20

## About the Role

* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field preferred.
 * 4+ years of software engineering or machine learning experience, with a focus on applied AI.
 * Strong software development skills in Python and experience with libraries like Langchain/Langgraph, Agent SDKs, Pydantic, SQLAlchemy/Alembic, PySpark/Polars/Pandas.
 * Experience with tracing systems (MLFlow, Sentry), RAG Systems, Memory Systems, MCP Servers, Agent Skills, and knowledge of different models and tradeoffs.
 * Strong understanding of how to make use of AI tools for rapid development (Cursor, Claude Code, etc)
 * Familiarity with containerization (Docker), cloud deployment (AWS preferred, Github Actions)
 * Demonstrated ability to ship high-quality, production-ready ML/AI systems under tight iteration cycles.
 * Passion for solving complex problems with real-world impact, especially in high-stakes or regulated domains.
 * Excellent communication skills and the ability to thrive in cross-functional, mission-driven environments.

## Description

* Design, develop, and ship proof-of-concept AI applications within days or weeks. Work in fast, agile cycles to test ideas, gather feedback, and refine models and interfaces.
 * Build and integrate advanced AI components, including Model Context Protocol clients and servers, foundation model fine-tuning, and multi-agent orchestration frameworks (eg. Claude Agent SDK, LangChain, AutoGPTI)
 * Take features from idea to production, including architecting data flows, writing high-quality code, containerizing services, and deploying them in secure cloud environments (e.g., AWS).
 * Partner closely with product managers, designers, engineers, and data scientists to translate abstract business problems into concrete, scalable AI systems.
 * Develop production-grade data pipelines integrating data to/from AI systems.
 * Develop and maintain internal tools to speed up development cycles, CI/CD scripts, evaluation harnesses, dashboards, and secure sandbox environments.
 * Ensure AI systems are monitored, explainable, and aligned with ethical, regulatory, and performance standards.
 * Stay at the forefront of AI/ML advancements, evaluate open-source frameworks, and share best practices across the team.